code: def make_stage(self, stage, multiplier=1):
      stage_repeats = [3, 7, 3]
      if multiplier == 0.5:
          out_channels = [-1, 24, 48, 96, 192]
      elif multiplier == 1:
          out_channels = [-1, 24, 116, 232, 464]
      elif multiplier == 1.5:
          out_channels = [-1, 24, 176, 352, 704]
      elif multiplier == 2:
          out_channels = [-1, 24, 244, 488, 976]
      body = nn.HybridSequential()
      body.add(
          shuffleUnitV2(
              out_channels[stage - 1], out_channels[stage], split=False
          )
      )
      for i in range(stage_repeats[stage - 2]):
          body.add(
              shuffleUnitV2(
                  out_channels[stage], out_channels[stage], split=True
              )
          )
      return body
  
imports: from mxnet.context import cpu
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.block import HybridBlock
label_desc: Use image node_id 2 for calling the ShuffleNetV2 obj's underlying member method code with example usage: obj.make_stage(stage, multiplier) and returns: body